Description

Students will be introduced to the analysis and interpretation of generalized linear mixed models. While the students will be introduced to the underlying statistical foundations the focus will be on the analysis and interpretation. Most of the analyses will be done using ASREML and GLIMMIX procedure in SAS. Students in the course should be familiar with linear mixed models.

Topics:

• Review of Linear Mixed Models
• Introduction to ASREML
• Statistical foundations of Generalized Linear Models
• Analysis of Binary Data
• Logit and Probit Models
• Analysis of Count Data
• Threshold/Linear Models
• Survival Analysis
• MCMC and GLMM: An Introduction




Course Info

Instructor:	Steve Kachman
E-mail:	skachman@unl.edu
Office:	354B Hardin Center
Phone:	472-7302
Course:	Statistical Methods in Animal Breeding - with emphasis on analysis of categorical data
Location:	Enaforsholm, Åre, SWEDEN
Date:	March 17-26, 2009
Recommended Texts:	Generalized, Linear, and Mixed Models, McCulloch and Searle
	An Introduction to Generalized Linear Models, Dobson A nice practical introduction to generalized linear models.
	Generalized Linear Models, McCullagh and Nelder Is a classic book which provides some additional depth.
Other ASReml Resources:
	ASReml Cookbook
	Context Text Editor
	Instructions for setting up Context for ASReml can be found in the Context subdirectory of the ASReml program directory.